Senior Machine Learning Engineer

Accompany Health

Senior Machine Learning Engineer transforming healthcare through AI at Accompany Health. Collaborating with teams to build integrated healthcare services and a robust engineering culture.

Posted 7/30/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $175,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building production-grade machine learning systems and backend infrastructure, with strong proficiency in Python and SQL. Capable of developing and maintaining ML pipelines while collaborating effectively across teams to drive innovation in healthcare.

Highest-signal resume keywords

Machine Learning SystemsPython ProgrammingSQL ProficiencyML Pipeline DevelopmentAWS Sagemaker

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringMachine LearningBackend InfrastructureMLOpsCode EfficiencyModel TrainingModel EvaluationModel DeploymentData AnalysisStatistical Analysis

Soft Skills

CollaborationEntrepreneurial MindsetProblem SolvingCommunicationArticulating Technical Ideas

Tools & Technologies

AWS SagemakerBedrockMachine Learning FrameworksData PipelinesVersion Control Systems

Certifications & Qualifications

Graduate Degree in Computer ScienceGraduate Degree in Statistics

Industry Keywords

HealthcareAI IntegrationCompassionate Care DeliveryEnd-to-End ExperienceEngineering Culture

Tech Stack

Tools & technologies

AWSPythonSQL

About the role

Key responsibilities & impact

Help transform healthcare through AI
Collaborate across the organization with various teams, including Product, Sales, and Clinical Operations
Drive the change in healthcare by building products to integrate healthcare services as an end-to-end experience
Build a great engineering culture while balancing speed and tech debt

Requirements

What you’ll need

5+ years of software engineering experience, with a focus on building production-grade machine learning systems, backend infrastructure, or MLOps
Graduate degree in Computer Science, Statistics, or related quantitative field
Strong proficiency in Python and SQL, with the ability to create efficient and maintainable code for machine learning applications
Developing and maintaining ML pipelines for model training, evaluation, deployment (experience with tools like AWS Sagemaker or Bedrock is preferred)
Healthcare experience is valuable but not required
Your entrepreneurial mindset and ability to articulate complex technical ideas will be essential as you collaborate across our remote team to solve novel problems at the intersection of AI and compassionate care delivery

Benefits

Comp & perks

Equity
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